Innovation processes staffing: Issues and content

In the context of global competition and geopolitical challenges, the issues of outstripping innovative development and achieving technological sovereignty have become particularly relevant for Russia. Innovative development largely depends on an effectively functioning national innovation system, and technological sovereignty is ensured not by innovations themselves, but by highly qualified specialists capable of generating and implementing breakthrough ideas. An analysis of the trends in the development of artificial intelligence technology, a most relevant innovation of our time, allows us to conclude that there are certain barriers in the interaction of elements of the national innovation system regarding the provision of human resources for the development of this technology. The existing scientific groundwork in this area does not have a formalized theoretical and methodological framework for addressing this problem. The aim of our research is to design the conceptual foundations for staffing innovation processes in the context of Russia’s national innovation system. Based on the consideration of various points of view on the interpretation of key categories of innovation theory, the article offers a conceptual scheme of their relationship; we formulate our own definition of innovation processes staffing and disclose its content within the framework of Russia’s national innovation system. Using the example of artificial intelligence as one of the key innovations, we identify categories of human resources necessary for various stages of the innovation process. Based on the findings of the study, we propose a comprehensive scheme for staffing the innovation process in the context of the Russian national innovation system, where, together with its traditional elements (business; universities and academic structures; the state), society is considered as an important component of staffing innovation development. Taken together, the results obtained make it possible to formalize innovation processes staffing as a scientific category and define the general outline of this process, which needs further elaboration and development.